An Iterative Greedy Algorithm With Q-Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling.
Fuqing ZhaoChangxue ZhuangLing WangChenxin DongPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2024)
Keyphrases
- greedy algorithm
- learning mechanism
- flowshop scheduling
- multi objective
- objective function
- squeaky wheel
- worst case
- total flowtime
- evolutionary algorithm
- flowshop scheduling problems
- greedy algorithms
- greedy strategy
- multiobjective optimization
- greedy heuristic
- learning process
- scheduling problem
- dynamic programming
- flowshop
- influence maximization
- genetic algorithm
- set cover
- knapsack problem
- particle swarm optimization
- artificial neural networks
- approximation ratio
- randomized algorithm
- submodular functions
- reinforcement learning
- learning algorithm
- search control knowledge